Zobrazeno 1 - 10
of 1 328
pro vyhledávání: '"AlMansoori, A."'
The emerging task of fine-grained image classification in low-data regimes assumes the presence of low inter-class variance and large intra-class variation along with a highly limited amount of training samples per class. However, traditional ways of
Externí odkaz:
http://arxiv.org/abs/2406.19814
Autor:
Tripathi, Dhurba, Giommi, Paolo, Di Giovanni, Adriano, Almansoori, Rawdha R., Hamly, Nouf Al, Arneodo, Francesco, Macciò, Andrea V., Puccetti, Goffredo, de Almeida, Ulisses Barres, Brandt, Carlos, Di Pippo, Simonetta, Doro, Michele, Israyelyan, David, Pollock, Andrew M. T., Sahakyan, Narek
Firmamento (https://firmamento.hosting.nyu.edu) is a new-concept web-based and mobile-friendly data analysis tool dedicated to multi-frequency/multi-messenger emitters, as exemplified by blazars. Although initially intended to support a citizen resea
Externí odkaz:
http://arxiv.org/abs/2311.15102
Autor:
Tupitsa, Nazarii, Almansoori, Abdulla Jasem, Wu, Yanlin, Takáč, Martin, Nandakumar, Karthik, Horváth, Samuel, Gorbunov, Eduard
Robustness to Byzantine attacks is a necessity for various distributed training scenarios. When the training reduces to the process of solving a minimization problem, Byzantine robustness is relatively well-understood. However, other problem formulat
Externí odkaz:
http://arxiv.org/abs/2311.04611
Person search (PS) is a challenging computer vision problem where the objective is to achieve joint optimization for pedestrian detection and re-identification (ReID). Although previous advancements have shown promising performance in the field under
Externí odkaz:
http://arxiv.org/abs/2310.20706
Autor:
Beenish Sarfraz, Jean Tuyisabe, Louis De Montfort, Abdulrahman Ibrahim, Shamma Z. Abdulkreem Almansoori, Haya Alajami, Asma Almeqbaali, Biduth Kundu, Vishnu Sukumari Nath, Esam Eldin Saeed, Ajay Kumar Mishra, Khaled Michel Hazzouri, Raja Almaskari, Abhishek Kumar Sharma, Naganeeswaran Sudalaimuthuasari, Khaled M. A. Amiri
Publikováno v:
BMC Genomic Data, Vol 25, Iss 1, Pp 1-4 (2024)
Abstract Objectives Sabkhas represent polyextreme environments characterized by elevated salinity levels, intense ultraviolet (UV) radiation exposure, and extreme temperature fluctuations. In this study, we present the complete genomes of five bacter
Externí odkaz:
https://doaj.org/article/ad14854c64784da8ae9e35f37c0bd65e
Federated learning has become a popular machine learning paradigm with many potential real-life applications, including recommendation systems, the Internet of Things (IoT), healthcare, and self-driving cars. Though most current applications focus on
Externí odkaz:
http://arxiv.org/abs/2212.03836
Autor:
Ashraf F. Hefny, MSc, MRCS, MMEd (Dundee), FACS, Taleb M. Almansoori, MD, Margaret El-Zubeir, PhD, Alia AlBawardi, MD, Sami Shaban, PhD, Mohi Eldin Magzoub, PhD, Taoufik Zoubeidi, PhD, Nirmin A. Mansour, MD
Publikováno v:
Journal of Taibah University Medical Sciences, Vol 19, Iss 2, Pp 447-452 (2024)
الملخص: أهداف البحث: يعد الالتحاق بكليات الطب أمرا مطلوبا للغاية في جميع أنحاء العالم مع وجود منافسة شرسة بين المتقدمين. ومع ذلك، فإن بعض
Externí odkaz:
https://doaj.org/article/7ddc106f0c724986b52400a9117f6d34
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Alzheimer’s disease (AD) is an incurable neurodegenerative disorder that leads to dementia. This study employs explainable machine learning models to detect dementia cases using blood gene expression, single nucleotide polymorphisms (SNPs)
Externí odkaz:
https://doaj.org/article/7d13e93a6a0049f5bca060963b0e7c71
Publikováno v:
Journal of Childhood, Education & Society, Vol 5, Iss 1, Pp 41-60 (2024)
The Jolly Phonics Lessons application is a digital tool that is designed to enhance the preschoolers’ reading and writing skills through synthetic phonics approach. This study examined the impact of integrating Jolly Phonics Lessons application int
Externí odkaz:
https://doaj.org/article/d8051f5445884b0abdb435a7a3de32c8
Autor:
Sajeesh Kappachery, Mohamed AlHosani, Tanveer Alam Khan, Sara Nouh AlKharoossi, Nemah AlMansoori, Sara Ali Saeed AlShehhi, Hamda AlMansoori, Maha AlKarbi, Shina Sasi, Sameera Karumannil, Sampath Kumar Elangovan, Iltaf Shah, Mayank Anand Gururani
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Salinity stress has detrimental effects on various aspects of plant development. However, our understanding of strategies to mitigate these effects in crop plants remains limited. Recent research has shed light on the potential of sodium ace
Externí odkaz:
https://doaj.org/article/c45fbf7310094b17b68f23cc825a9408